languages including SAS and R to efficiently manipulate electronic healthcare databases to discover disease prevalence and risk factors, describe drug utilization patterns and disease progression, answer clinical development questions, and support regulatory submissions.
In this role, the associate principal statistical programmer will gather and interpret user requirements from BARDS epidemiologists, retrieve the required data from electronic healthcare databases, and develop disease cohorts, analytical datasets, tables, figures, and submission deliverables and perform validation activities following departmental SOPs. The associate principal statistical programmer will be a key collaborator
with BARDS epidemiologists and partner with the team mapping data to RWE industry submission standards to execute project plans efficiently and oversee the work of other team members when opportunities arise.
Education Minimum Requirement: MS in Computer Science, Statistics, Applied Mathematics, Life Sciences, Engineering or related analytical field plus minimum 7 yrs experience in multiple programming languages including SAS and RBA/BS in Computer Science, Statistics, Applied Mathematics, Life Sciences, Engineering or related analytical field plus 9-12 yrs experience in multiple programming languages including SAS and R Required Experience and Skills: Excellent interpersonal skills and
ability to negotiate and collaborate effectively Excellent written, oral, and presentation skills Broad knowledge and significant experience in developing analysis and reporting deliverables for R&D projects (data, analyses, tables, graphics, listings)US and/or worldwide drug or vaccine regulatory application submission experience at the leadership level including the development of electronic submission deliverables for RWEExperience in CDISC and ADa M standards, including mapping Strong project management skills; leadership at a program level; determines approach and ensures consistency and directs development of others when opportunities arise; ability to engage key stakeholderinteractionpertise in SAS and R Real World Evidence programming including data processing, statistical procedures and graphing and tabulation techniques; systems and database expertise Solid RWE and RWD domain knowledge Designs and develops programming algorithms Ability to quickly and effectively learn new program techniques and data structures; capacity to seamlessly assimilate to new projects Ability to comprehend data analysis plans which may describe observational research and statistical methodology to be programmed; understanding and implementation of observational research or statistical terminology and concepts; implements observational methods not currently available through commercial software packages.
Programming expertise with electronic healthcare databases (electronic medical records and insurance claims); efficiently manipulates large databases including complex data preprocessing, filtering, and manipulation; experience with sampling strategies for large databases Unix operating system experience; SQL experience; systems and database experience Thrives working in an exploratory environment, handling non-standard data in a variety of formats with minimal requirements Demonstrated success in the assurance of deliverable quality and process compliance.
Strong working knowledge of reporting processes (SOPs) and software development life-cycle (SDLC); An interest to advance career by investing in development activities and taking on tasks with increasing levels of challenge and responsibility Team oriented with demonstrated history of teamwork and collaboration; enjoying diversity, respect and integrity. Preferred Experience and Skills: Strategic thinking - ability to turn strategy into tactical activities; design of statistical databases with the end in mind that optimize analysis and reporting and leverage departmental standards and industry best-practices.
Experience in process improvement; utilizes and contributes to the development of standard departmental SAS macros and R code and tools. Familiarity with the fields of Outcomes Research and Epidemiology including methodologies. Experience with Common Data Model (CDM)Experience in version control tools (e. g. git, Github)Experience working with coding systems such ICD-9, ICD-10, CPT, NDCGood working knowledge of reporting processes (SOPs) and software development life-cycle (SDLC)Expertise in statistics, clinical and data management concepts as applied to drug/vaccine development within the medical industry.
Experience assuring programming consistency across protocols and projects, directing the program development effort of other programmers; experience as a programming mentor. Ability to anticipate stakeholder requirements. Ability and interest to work across cultures and geographies. Active in professional societies#Eligiblefor ERPBARDS2020SPJOBSVETJOBS#EBRG NOTICE FOR INTERNAL APPLICANTS In accordance with Managers' Policy - Job Posting and Employee Placement, all employees subject to this policy are required to have a minimum of twelve (12) months of service in current position prior to applying for open positions.
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Final determinations with respect to salary will take into account a number of factors, which may include, but not be limited to the primary work location and the chosen candidate's relevant skills, experience, and education. Expected salary range: $130,960.00 - $206,200.00Available benefits include bonus eligibility, health care and other insurance benefits (for employee and family), retirement benefits, paid holidays, vacation, and sick days. For Washington State Jobs, a summary of benefits is listed here. Search Firm Representatives Please Read Carefully Merck & Co. Inc. Rahway, NJ, USA, also known as Merck Sharp & Dohme LLC, Rahway, NJ, USA, does not accept unsolicited assistance from search firms for employment opportunities.
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